AI Documents Processing & OCR

AI document processing and OCR for invoices, claims, EOBs, forms, and any other PDF your team currently reads by eye — structured, checked, and pushed straight into your system of record.

How we build AI Documents Processing & OCR

AWS TextractGoogle Document AIAzure AI Document IntelligenceOpenAIClaudeGeminiOCRICRPDF parsingTable extractionForm extractionDocument classificationConfidence scoringValidation rulesHuman review queuesERP / CRM export

AI Documents Processing & OCR turns PDFs, scans, forms, invoices, claims, and operational documents into structured, validated data. We combine enterprise OCR platforms, AI extraction, classification, confidence scoring, and human review queues so document-heavy work moves into your CRM, ERP, billing, or reporting systems with fewer manual checks.

Typical use caseIncoming EOBs are read automatically, key fields are extracted and checked, and only exceptions land in front of a biller for review.

What's included

Sample-document review and field schema design
OCR, classification, extraction, and validation pipeline
Confidence scoring and exception queues
Exports to CRM, ERP, billing tools, or spreadsheets
Accuracy review and retraining plan for new document formats

Workflow

How the engagement runs

Every build starts with process clarity, then moves through a focused MVP, controlled pilot, and documented handover.

Collect document samples

We review real PDFs, scans, forms, and edge cases to define fields, formats, and validation rules.

Design extraction schema

We define required fields, confidence thresholds, normalization rules, and exception criteria.

Build the pipeline

We add OCR, extraction, validations, review screens, and system exports.

Measure and tune accuracy

We compare outputs against ground truth, improve prompts and rules, and document how to handle new formats.

Results and timeline

What you should expect

The goal is a working system your team can trust, with measurable time savings and a clear path for support.

2-5 weeks

Turnaround

Typical turnaround based on document variety and required accuracy.

80-95%

Expected improvement

Common straight-through extraction range after tuning on consistent document types.

Exception focus

Operational control

Staff review only low-confidence or policy-sensitive records.

Turnaround note: timelines depend on tool access, sample data quality, approval speed, and how many systems need to be connected. We confirm the fixed scope after the audit.